Energy Evaluation of Sensor Protocol based on AI Techniques using CRAWDAD Data | Zendy

Mohit Mittal | Zendy; Lalit Kumar Saraswat | Zendy

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Energy Evaluation of Sensor Protocol based on AI Techniques using CRAWDAD Data

Author(s) -

Mohit Mittal,

Lalit Kumar Saraswat

Publication year - 2009

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.b1606.078219

Subject(s) - wireless sensor network , flexibility (engineering) , protocol (science) , computer science , cluster analysis , routing protocol , key (lock) , computer network , battery (electricity) , energy (signal processing) , routing (electronic design automation) , real time computing , power (physics) , artificial intelligence , computer security , quantum mechanics , medicine , statistics , physics , alternative medicine , mathematics , pathology

Wireless sensor networks (WSNs) are one of popular communication networks that have garnered most prominent research attention due to their flexibility to sense physical environment parameters and converts into signal form. Battery power is limitation of WSN i.e. network will alive till battery is available. The network lifetime of WSN can be improved by use of energy-efficient cluster-based routing algorithms. In this paper, a key idea is attempting to improvise the LEACH protocol with the help of various clustering techniques and develop improved protocol such as LEACH-K, LEACH-FUZZYC, and LEACH-SOM. Simulation results show that LEACH-FUZZYC outperforms as compare to LEACH, LEACH-K and LEACH-SOM.

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